Net-trim: Convex pruning of deep neural networks with performance guarantee A Aghasi, A Abdi, N Nguyen, J Romberg Advances in Neural Information Processing Systems, 3177-3186, 2017 | 205 | 2017 |
Fast Convex Pruning of Deep Neural Networks A Aghasi, A Abdi, J Romberg SIAM Journal on the Mathematics of Data Science, 2020 | 34 | 2020 |
Joint source-channel coding over additive noise analog channels using mixture of variational autoencoders YM Saidutta, A Abdi, F Fekri IEEE Journal on Selected Areas in Communications 39 (7), 2000-2013, 2021 | 29 | 2021 |
Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning A Abdi, F Fekri AAAI Conference on Artificial Intelligence, 2020 | 26 | 2020 |
Advances in seismic data compression via learning from data: Compression for seismic data acquisition A Payani, A Abdi, X Tian, F Fekri, M Mohandes IEEE Signal Processing Magazine 35 (2), 51-61, 2018 | 23 | 2018 |
Analog compression and communication for federated learning over wireless MAC A Abdi, YM Saidutta, F Fekri 2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020 | 18 | 2020 |
Reducing communication overhead via CEO in distributed training A Abdi, F Fekri 2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019 | 16 | 2019 |
Joint Source-Channel Coding of Gaussian sources over AWGN channels via Manifold Variational Autoencoders YM Saidutta, A Abdi, F Fekri 57th Annual Allerton Conference on Communication, Control, and Computing …, 2019 | 12 | 2019 |
Joint source-channel coding for gaussian sources over awgn channels using variational autoencoders YM Saidutta, A Abdi, F Fekri 2019 IEEE International Symposium on Information Theory (ISIT), 1327-1331, 2019 | 12 | 2019 |
Nested dithered quantization for communication reduction in distributed training A Abdi, F Fekri arXiv preprint arXiv:1904.01197, 2019 | 12 | 2019 |
Learning dictionary for efficient signal compression A Abdi, A Payani, F Fekri 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 12 | 2017 |
M to 1 joint source-channel coding of gaussian sources via dichotomy of the input space based on deep learning YM Saidutta, A Abdi, F Fekri 2019 Data Compression Conference (DCC), 488-497, 2019 | 11 | 2019 |
Efficient distributed inference of deep neural networks via restructuring and pruning A Abdi, S Rashidi, F Fekri, T Krishna Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6640-6648, 2023 | 9* | 2023 |
VAE for joint source-channel coding of distributed Gaussian sources over AWGN MAC YM Saidutta, A Abdi, F Fekri 2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020 | 8 | 2020 |
Seismic signal compression through delay compensated and entropy constrained dictionary learning X Tian, A Abdi, E Liu, F Fekri 2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018 | 6 | 2018 |
Compressive sensing with energy constraint H Zhang, A Abdi, F Fekri 2017 IEEE Information Theory Workshop (ITW), 389-393, 2017 | 6 | 2017 |
Micro-RNA profile detection via factor graphs A Einolghozati, J Zou, A Abdi, F Fekri 2016 IEEE 17th International Workshop on Signal Processing Advances in …, 2016 | 6 | 2016 |
Indirect Stochastic Gradient Quantization and its Application in Distributed Deep Learning A Abdi, F Fekri AAAI Conference on Artificial Intelligence, 2020 | 5 | 2020 |
Packet-level clustering for memory-assisted compression of network traffic F Fekri, M Sardari, A Beirami, L Huang, A Abdi US Patent 10,511,695, 2019 | 5 | 2019 |
Net-trim: A layer-wise convex pruning of deep neural networks A Aghasi, A Abdi, N Nguyen, J Romberg Advances in Neural Information Processing Systems (NIPS) pages, 3180-3189, 2017 | 5 | 2017 |